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高压大流量乳化液泵状态监控与故障诊断研究【作者】韩晓明 【导师】杜长龙

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高压大流量乳化液泵状态监控与故障诊断研究

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【作者】韩晓明导师杜长龙
j)@j*P&CJ9i`0【作者基本信息】中国矿业大学,机械设计及理论,2008年,博士水利论文T4vU!K_!`:MU

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【中文摘要】 高压大流量乳化液泵是为煤炭企业百万吨级综采工作面支护设备设计的液压动力源,是实现工作面高产高效的关键设备,其工作的连续性、稳定性与可靠性对于保证煤炭企业的安全生产和提高经济效益具有非常重要的意义。论文在电液卸载阀、反冲过滤器及电控自动配液器等自动装置研制成功的基础上,根据目前煤炭企业对乳化液泵的实际需要以及对状态监控系统的功能要求,选定八路状态参数作为监测对象,选用以可编程控制器为主体的监控方案,研制出高压大流量乳化液泵状态监控系统。试验结果表明,设计开发的基于可编程控制器的乳化液泵状态监控系统达到了设计技术指标的各项要求,保障了设备的安全运行。曲柄轴承作为乳化液泵曲柄连杆机构的关键部件,也是动力传递过程中极易损坏的薄弱环节,曲柄轴承的磨损失效是高压大流量乳化液泵的主要失效形式。论文通过对乳化液泵曲柄轴承在流体动压润滑情况下轴心偏心率及最小油膜厚度的分析,总结出偏心率及最小油膜厚度随半径间隙变化的发展规律。为曲柄连杆机构的设计及检修维护提供了理论基础,并揭示出曲柄轴承磨损故障的机理及表现特征,为利用振动信号诊断曲柄轴承磨损故障提供了理论依据。在曲柄轴承磨损故障机理的研究基础上,论文对其...更多故障特征信息提取及故障识别方法开展了进一步的研究。通过对小波滤波后不同磨损状态下的振动信号的功率谱分析,总结出曲柄轴承不同磨损状态下信号的信息特征及能量的变化规律。利用小波包频带能量分析法实现了对信号各频带相对能量信息特征的准确提取,为曲柄轴承磨损故障的识别提供了定量的依据。针对乳化液泵曲柄轴承磨损故障的渐变性以及井下实测的故障样本数量有限的特点,本文提出了模糊支持向量机的模式识别方法,并构建出基于小波包频带能量分析与模糊支持向量机相结合的曲柄轴承磨损故障诊断模型。诊断结果表明,该诊断模型能够充分利用曲柄轴承不同磨损状态的模糊信息,准确地实现对曲柄轴承磨损故障的早期诊断。泵阀弹簧断裂是高压大流量乳化液泵的另一种常见典型故障,极大地影响了乳化液泵的容积效率。论文根据泵阀在正常状态及吸、排液阀弹簧分别断裂状态下泵阀运动微分方程数学模型的求解,得出泵阀的运动规律,揭示出泵阀弹簧断裂故障的机理及表现特征,为利用振动信号识别和定位泵阀弹簧断裂故障提供了理论依据。在泵阀弹簧断裂故障机理的研究基础上,论文对基于连续小波变换的奇异性分析方法进行研究,提出了改进的具有良好稳健性和有效性的基于最小中位二乘法的Lipschitz指数计算方法,确定了泵阀弹簧断裂故障的判断准则。诊断结果表明,该方法可以实现对信号中奇异点的准确定位,识别出弹簧断裂状态下阀盘对阀座或升程限制器产生冲击的时刻,准确有效地判断出泵阀弹簧断裂的故障。  还原水利论文d*F%\ D1ZfI

!Q.`$l P3JN3X0【英文摘要】 Emulsion pump with high pressure and large discharge is a hydraulic power source designed for the supporting equipments in the mega-tonnage comprehensive mechanized coal face of coal industry and is the key equipment to realize greater productivity and higher efficiency of coal face. So the working continuity, stability and reliability of emulsion pump are very important to guarantee the safety in production and to improve the economy of coal industry.Based on the development of automatic devices such as electro-hydraulic unloading valve, backwash filter and electric fluid mixture assembly and the practical necessity and functional requirements to the condition monitoring system of emulsion pump, eight condition parameters are selected as monitored objects and programmable logic controller is selected as the main block in the monitoring scheme. So the condition monitoring system of emulsion pump is developed. The test result shows that the monitoring system of emulsion pump based on pr...更多ogrammable logic controller meets the specifications to guarantee the safe operation of equipments.Crank bearing is the key component of crank connecting rod mechanism of emulsion pump and the damageable part during power transmission. The wear fault of crank bearing has been the main fault type of emulsion pump with high pressure and large discharge. Through the analysis of axis eccentricity and minimum oil film thickness of crank bearing under condition of Hydrodynamic Lubrication, the development law of eccentricity and minimum oil film thickness with the variation of radius gap values is generalized, which provides the theory basement of design and maintenance of crank connecting rod mechanism and discloses the fault mechanics and represent feature of crank bearing wear to provide the theory basement to diagnose the wear fault with the vibration signals.Based on the research of crank bearing wear fault mechanics, the fault feature extraction and fault diagnosis method are further studied. Through the power spectrum analysis to vibration signals filtered with wavelet transform in different wear degrees, the variation regularity of information feature and energy of signals is generalized. With the energy analysis to wavelet packet frequency bands, the feature of relative energy of frequency bands can be extracted accurately, which provides the diagnosis of crank bearing wear fault with quantitative foundation. Because the variation of wear degree is gradual and the quantity of fault specimen measured in coal face is finite, the pattern recognition method of fuzzy support vector machine is put forward. Further, the wear fault diagnosis model combining wavelet packet frequency bands energy analysis and fuzzy support vector machine is established. The diagnosis result indicates that the diagnosis model can make full use of fuzzy information of crank bearing wear in different degrees to realize the early diagnosis of wear fault accurately.Pump valve spring fracture is another common typical fault of emulsion pump with high pressure and large discharge which reduces the volumetric efficiency of emulsion pump greatly. According to the solution to the movement differential equation models of pump valve under conditions of normal, separate spring fracture of suction valve and discharge valve, the movement regularity of pump valve can be obtained to disclose the fault mechanics and represent feature of spring fracture to provide the theory foundations for the identification and localization to the spring fracture fault of pump valve with the vibration signals.On the basis of the research of pump valve spring fracture fault mechanics, the singularity analysis method based on continuous wavelet transform is studied and the improved calculation method of Lipschitz exponent based on least median of squares is put forward which is more robust and effective. So the diagnosis rule can be determined. The diagnosis result indicates that this method can realize the correct localization to the singularity points in signal to identify the impulse time under condition of spring fracture and can diagnose the spring fracture fault of pump valve accurately and effectively.  还原水利论文jb"r zN0{

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【中文关键词】 乳化液泵; 状态监控; 曲柄轴承; 磨损; 泵阀弹簧; 断裂水利论文)o%]p a c%W;[8PkGz-y
【英文关键词】 emulsion pump; condition monitoring; crank bearing; wear; pump valve spring; fracture
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TAG: 导师 杜长龙 韩晓明 故障诊断 高压
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